1. Learn
    2. /
  2. Courses
    3. /
  3. Marketing Analytics: Predicting Customer Churn in Python

Exercise

Visualizing feature importances

Your random forest classifier from earlier exercises has been fit to the telco data and is available to you as clf. Let's visualize the feature importances and get a sense for what the drivers of churn are, using matplotlib's barh to create a horizontal bar plot of feature importances.

Instructions

100 XP
  • Calculate the feature importances of clf.
  • Use plt.barh() to create a horizontal bar plot of importances.